{"id":"https://openalex.org/W4286300260","doi":"https://doi.org/10.1109/iwcmc55113.2022.9824987","title":"CNN based approach for Indoor Positioning Services using RSSI Fingerprinting Technique","display_name":"CNN based approach for Indoor Positioning Services using RSSI Fingerprinting Technique","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4286300260","doi":"https://doi.org/10.1109/iwcmc55113.2022.9824987"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc55113.2022.9824987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9824987","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030636526","display_name":"Wiem Fekih Hassen","orcid":"https://orcid.org/0009-0000-4081-332X"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wiem Fekih Hassen","raw_affiliation_strings":["Chair of distributed Information Systems University of Passau,Passau,Germany","Chair of distributed Information Systems University of Passau, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of distributed Information Systems University of Passau,Passau,Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Chair of distributed Information Systems University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003248977","display_name":"Jihene Mezghani","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jihene Mezghani","raw_affiliation_strings":["Chair of distributed Information Systems University of Passau,Passau,Germany","Chair of distributed Information Systems University of Passau, Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of distributed Information Systems University of Passau,Passau,Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Chair of distributed Information Systems University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030636526"],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":2.897,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92565908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"778","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8086692094802856},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5662169456481934},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.518534243106842},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5097925066947937},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5060705542564392},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4700067639350891},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46653372049331665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42983904480934143},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.41915518045425415},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41732901334762573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3792504072189331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33292603492736816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10599485039710999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0845995843410492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086692094802856},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5662169456481934},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.518534243106842},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5097925066947937},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5060705542564392},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4700067639350891},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46653372049331665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42983904480934143},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.41915518045425415},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41732901334762573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3792504072189331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33292603492736816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10599485039710999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0845995843410492},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc55113.2022.9824987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9824987","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2008429100","https://openalex.org/W2579021424","https://openalex.org/W2787516708","https://openalex.org/W2808135877","https://openalex.org/W2811258534","https://openalex.org/W2942082696","https://openalex.org/W2945597712","https://openalex.org/W2947789327","https://openalex.org/W2964884160","https://openalex.org/W3027928583","https://openalex.org/W3198257123","https://openalex.org/W6761753923"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2987774938","https://openalex.org/W2470643824"],"abstract_inverted_index":{"Nowadays":[0],"Indoor":[1],"Positioning":[2],"Systems":[3],"(IPS)":[4],"play":[5],"a":[6,16,71,94,198,220,224],"crucial":[7],"role":[8],"in":[9,202,210],"providing":[10],"information":[11],"about":[12],"the":[13,25,49,57,67,77,83,103,106,128,158,170,185,189,203],"location":[14,69],"of":[15,28,105,160,188,206],"smartphone":[17],"inside":[18],"covered":[19],"areas":[20],"(e.g,":[21],"buildings),":[22],"especially":[23],"with":[24,82,223],"widespread":[26],"deployment":[27],"WiFi":[29,40,50,108],"technology.":[30],"In":[31,87],"this":[32,141],"paper,":[33],"we":[34,143,172],"propose":[35],"an":[36,178],"IPS":[37],"based":[38],"on":[39,48],"and":[41],"Convolution":[42],"Neural":[43],"Network":[44],"(CNN).":[45],"We":[46],"focus":[47],"RSSI":[51,80,109,116,137],"fingerprinting":[52],"technique":[53],"as":[54,93,177],"it":[55],"is":[56,64],"most":[58],"widely":[59],"used":[60,92],"method,":[61],"which":[62],"principle":[63],"to":[65,98,101,114,119,124,133,229],"return":[66],"smartphone's":[68],"using":[70,197],"learning":[72,95],"algorithm":[73,96],"that":[74,154,183,216],"best":[75],"matches":[76],"real-time":[78],"recorded":[79],"vector":[81],"previous":[84],"stored":[85],"data.":[86,110],"our":[88,217],"model,":[89],"CNN":[90,111],"was":[91,112,195],"owning":[97],"its":[99,125],"ability":[100],"capture":[102],"structure":[104],"unstable":[107],"employed":[113],"match":[115],"image":[117],"corresponding":[118],"one":[120,165],"Reference":[121],"Point":[122],"(RP)":[123],"location.":[126],"However,":[127],"correlation":[129],"between":[130],"RPs":[131],"leads":[132],"RP":[134,152],"ambiguity":[135],"for":[136,145,151],"images.":[138],"To":[139,167],"overcome":[140],"issue,":[142],"opt":[144],"Distance-Based":[146],"Label":[147],"Distribution":[148],"(DBLD)":[149],"method":[150],"encoding":[153,164],"takes":[155],"into":[156],"consideration":[157],"distribution":[159],"RP's":[161],"neighbors":[162],"while":[163],"RP.":[166],"further":[168],"improve":[169],"performance,":[171],"apply":[173],"Random":[174],"Forest":[175],"Regression":[176],"Error":[179],"Correction":[180],"Model":[181],"(ECM)":[182],"adjusts":[184],"predicted":[186],"position":[187],"target":[190],"point.":[191],"Our":[192],"implemented":[193],"model":[194],"evaluated":[196],"public":[199],"dataset":[200],"collected":[201],"library":[204],"building":[205],"Jaume":[207],"I":[208],"University":[209],"Spain.":[211],"The":[212],"experimental":[213],"results":[214],"show":[215],"approach":[218],"achieves":[219],"high":[221],"accuracy":[222],"mean":[225],"positioning":[226],"error":[227],"equal":[228],"0.72":[230],"m.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}